Accelerometer based intelligent system for human movement recognition

Author

da Silva, Fernando Ginez ; Galeazzo, Elisabete

Author_Institution

Dept. of Electron. Syst., Escola Politec. da Univ. de Sao Paulo, Sao Paulo, Brazil

fYear

2013

fDate

13-14 June 2013

Firstpage

20

Lastpage

24

Abstract

This paper presents the development of a system based on computational intelligence techniques and on an accelerometer to perform, in a comfortable and non-intrusive manner, the recognition of basic movements of a person´s routine. The information provided by this system can be directed to support promoting health and well-being of the individual, as well as diagnosing and remote patient monitoring. The system provides an overall success rate in recognition of movements around 93% by using support vector machines for signal classification and Fisher´s discriminant ratio to select the most significant features.

Keywords

accelerometers; feature extraction; graphical user interfaces; motion estimation; object recognition; patient monitoring; signal classification; support vector machines; Fisher discriminant ratio; GUI; accelerometer based intelligent system; computational intelligence techniques; human movement recognition; nonintrusive manner; person routine; remote patient monitoring; signal classification; support vector machines; Accelerometers; Biomedical monitoring; Computer architecture; Feature extraction; Monitoring; Sensors; Watches; Accelerometer; Ambient assisted living; Computational intelligence; Movement classification; Wearable sensor;

fLanguage

English

Publisher

ieee

Conference_Titel

Advances in Sensors and Interfaces (IWASI), 2013 5th IEEE International Workshop on

Conference_Location

Bari

Print_ISBN

978-1-4799-0039-8

Type

conf

DOI

10.1109/IWASI.2013.6576063

Filename

6576063